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  1. 341
  2. 342

    Dynamic Multicommodity Contraflow Problem with Asymmetric Transit Times by Shiva Prakash Gupta, Urmila Pyakurel, Tanka Nath Dhamala

    Published 2022-01-01
    “…Motivated by the uneven road condition of transportation network topology, we introduce the dynamic multicommodity contraflow problem with asymmetric transit times on arcs that increase the outbound lane capacities by reverting the orientation of lanes towards the demand nodes. …”
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    Article
  3. 343

    Recognizing the Urban Image Elements of Tbilisi Based on the Description of Tourists During the Qajar era by Mehdi Nilipour, Ahad Nejad Ebrahimi

    Published 2023-10-01
    “…Also, the river Kura played the role of the edge in the city's image, and the city had four districts: Russian, Yerevan, German, and Georgian. The nodes included traffic and activity nodes. Traffic nodes included the bridges on the river and the intersections of the main roads, and activity nodes included the Mushthaid Garden, the Garden of Europe, Alexander Garden, the Square, and the Bazaar. …”
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  4. 344

    Features of Modeling the Operating Modes of Outdoor Lighting Lines by V. N. Kalechyts

    Published 2022-12-01
    “…The results of the lighting calculation are the basis for modeling the electrical operation modes of outdoor lighting lines, which allows determining the operating parameters (node voltage, active and reactive power, current, voltage drop, loss of active and reactive power in individual sections). …”
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    Article
  5. 345

    A Routing Algorithm Based on Dynamic Forecast of Vehicle Speed and Position in VANET by Haojing Huang, Shukui Zhang

    Published 2013-06-01
    “…Considering city road environment as the background, by researching GPSR greedy algorithm and the movement characteristics of vehicle nodes in VANET, this paper proposes the concept of circle changing trends angle in vehicle speed fluctuation curve and the movement domain and designs an SWF routing algorithm based on the vehicle speed point forecasted and the changing trends time computation. …”
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    Article
  6. 346

    Infrastructure Assisted Autonomous Driving: Research, Challenges, and Opportunities by Roshan George, Joseph Clancy, Tim Brophy, Ganesh Sistu, William O'Grady, Sunil Chandra, Fiachra Collins, Darragh Mullins, Edward Jones, Brian Deegan, Martin Glavin

    Published 2025-01-01
    “…The infrastructure can share real-time data, such as traffic conditions, road hazards, and weather updates, facilitating safer and more efficient navigation. …”
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    Article
  7. 347

    A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network by Chongya Gong, Tinghua Ai, Shiyu Chen, Tianyuan Xiao, Huafei Yu

    Published 2025-02-01
    “…Geographic features in maps consist of a mixture of points, polylines, and polygons, generally including POIs, roads, buildings, and other geographic features. …”
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  8. 348
  9. 349

    Spatial Analysis on Networks: Towards identifying similarity of routes by Panagiotis Agourogiannis, Dimitris Kavroudakis, Marios Batsaris

    Published 2021-12-01
    “… Finding an optimal path in a road network is a method of planning and decision-making that is mainly related to transportations and emergency response. …”
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    Article
  10. 350

    The Influence of Traffic Networks on the Supply-Demand Balance of Tourism: A Case Study of Jiangsu Province, China by Tao Chen

    Published 2014-01-01
    “…The purpose of this research is to address the impact of traffic networks on the supply-demand balance of tourism and to determine if it is necessary to incorporate the traffic flow data for nodes to determine the significant influences and impacts of traffic networks on tourism. …”
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  11. 351

    The spatial distribution characteristics and influencing factors of key villages in rural tourism in China. by Jiqiang Niu, Hao Guo, Weichun He, Feng Xu, Guangyu Zhang

    Published 2025-01-01
    “…Rural tourism key villages in China serve as critical nodes driving the development of rural tourism. Based on a dataset of 1,195 key villages, this study employs Ripley's K-function and geographic detector methods to investigate their spatial distribution patterns and influencing factors. …”
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    Article
  12. 352

    Self-Organized Clustering Architecture for Vehicular Ad Hoc Networks by Cándido Caballero-Gil, Pino Caballero-Gil, Jezabel Molina-Gil

    Published 2015-08-01
    “…This paper proposes a new system based on 1-hop clustering to reduce the number of VANET communications in dense road traffic scenarios while maintaining the security of communications by combining public-key with secret-key cryptography. …”
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  13. 353
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  16. 356

    A hybrid dual-mode trust management scheme for vehicular networks by Ibrahim Abdo Rai, Riaz Ahmed Shaikh, Syed Raheel Hassan

    Published 2020-07-01
    “…Vehicular ad-hoc networks allow vehicles to exchange messages pertaining to safety and road efficiency. Building trust between nodes can, therefore, protect vehicular ad-hoc networks from malicious nodes and eliminate fake messages. …”
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  17. 357

    Research on the Relationship Among Perceived Experience, Satisfaction, and Happiness in the Whole Process of Self-Driving Tourism by Hai Yan, Fan Wu, Mingyang Hao

    Published 2025-05-01
    “…Additionally, the development of self-driving parking facilities, public information dissemination, road key nodes and scenery design, and vehicle intelligence levels are critical to enhancing tourists’ happiness. …”
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    Article
  18. 358

    On Dynamic Video Source Decision in VANETs: An On-Demand Clustering Approach by Lina Zhu, Changle Li, Yun Chen, Bingbing Li

    Published 2015-06-01
    “…By the on-demand clustering approach, nodes with the same video requirement/supply and moving features are clustered. …”
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  19. 359
  20. 360

    Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China by Xiao Li, Shaohua Wang, Liang Zhou, Yeran Sun, Jiayi Zheng, Chang Liu, Junyuan Zhou, Cheng Su, Dachuan Xu

    Published 2025-03-01
    “…The diffusion characteristics of the bus network are significantly influenced by administrative boundaries and the layout of the ring roads. Bus routes and stops are highly concentrated in the central urban areas and within the Second Ring Road, while as the number of ring roads increases, various network indices gradually decrease. …”
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